module: inductor oncall: pt2 triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and ...

For reference, that's roughly the same bandwidth as a 40GB Nvidia A100 PCIe card with HBM2, but a heck of a lot more power. This means that, without optimizations to make the model less demanding, ...

Due to the parallel computing features of the Attention mechanism, on the NVIDIA A100-PCIE 40GB graphics card and CUDA 11.6 server, the training time of each epoch is reduced by 3-5s compared to the ...

Due to the characteristics of parallel computing of Attention mechanism, on the server with NVIDIA A100-PCIE 40GB graphics card and CUDA version 11.6, the training time of each epoch is reduced by ...

At the moment, Nvidia is only putting out a liquid-cooled A100 PCIe card with an 80GB memory capacity, with no plans for a 40GB version. Kharya said Nvidia decided to release these products in ...

Nvidia plans to sell a liquid-cooled PCIe card for its A100 server GPU in the third quarter. It will follow this in early 2023 with a liquid-cooled PCIe card for the next-gen H100 chip.

Calling nn.Conv2d(..., group=n) is slower than manually executing n separate convolutions. GPU 0: NVIDIA A100-PCIE-40GB GPU 1: NVIDIA A100-PCIE-40GB GPU 2: NVIDIA A100-PCIE-40GB GPU 3: NVIDIA ...

The new NVIDIA A100 PCIe 80GB GPU will enable faster execution of AI and HPC applications, as bigger models can be stored in the GPU memory.